mirror of https://github.com/linkerd/linkerd2.git
[Link to RFC](https://github.com/linkerd/rfc/pull/23) ### What --- * PR that puts together all past pieces of the puzzle to deliver topology-aware service routing, as specified in the [Kubernetes docs](https://kubernetes.io/docs/concepts/services-networking/service-topology/) but with a much better load balancing algorithm and all the coolness of linkerd :) * The first piece of this PR is focused on adding topology metadata: topology preference for services and topology `<k,v>` pairs for endpoints. * The second piece of this PR puts together the new context format and fetching the source node topology metadata in order to allow for endpoints filtering. * The final part is doing the filtering -- passing all of the metadata to the listener and on every `Add` filtering endpoints based on the topology preference of the service, topology `<k,v>` pairs of endpoints and topology of the source (again `<k,v>` pairs). ### How --- * **Collecting metadata**: - Services do not have values for topology keys -- the topological keys defined in a service's spec are only there to dictate locality preference for routing; as such, I decided to store them in an array, they will be taken exactly as they are found in the service spec, this ensures we respect the preference order. - For EndpointSlices, we are using a map -- an EndpointSlice has locality information in the form of `<k,v>` pair, where the key is a topological key (similar to what's listed in the service) and the value is the locality information -- e.g `hostname: minikube`. For each address we now have a map of topology values which gets populated when we translate the endpoints to an address set. Because normal Endpoints do not have any topology information, we create each address with an empty map which is subsequently populated ONLY for slices in the `endpointSliceToAddressSet` function. * **Filtering endpoints**: - This was a tricky part and filled me with doubts. I think there are a few ways to do this, but this is how I "envisioned" it. First, the `endpoint_translator.go` should be the one to do the filtering; this means that on subscription, we need to feed all of the relevant metadata to the listener. To do this, I created a new function `AddTopologyFilter` as part of the listener interface. - To complement the `AddTopologyFilter` function, I created a new `TopologyFilter` struct in `endpoints_watcher.go`. I then embedded this structure in all listeners that implement the interface. The structure holds the source topology (source node), a boolean to tell if slices are activated in case we need to double check (or write tests for the function) and the service preference. We create the filter on Subscription -- we have access to the k8s client here as well as the service, so it's the best point to collect all of this data together. Addresses all have their own topology added to them so they do not have to be collected by the filter. - When we add a new set of addresses, we check to see if slices are enabled -- chances are if slices are enabled, service topology might be too. This lets us skip this step if the latest version is not adopted. Prior to sending an `Add` we filter the endpoints -- if the preference is registered by the filter we strictly enforce it, otherwise nothing changes. And that's pretty much it. Signed-off-by: Matei David <matei.david.35@gmail.com> |
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